Mei‐Chun Hsiao
- Public Health, Environmental and Occupational Health top 10%
- Psychiatry and Mental health top 5%
- Clinical Psychology top 10%
- Pharmacology top 10%
- Behavioral Neuroscience top 5%
- Co-authors
- Chia‐Yih LiuChia-Yih LiuCheng‐Cheng HsiaoKun‐Ju LinWinston W. ShenYong‐Yi YangTzu‐Chen YenYu‐Li Liu
- Topics
- Menstrual Health and Disorders (12 papers)Schizophrenia research and treatment (7 papers)Treatment of Major Depression (6 papers)
- Partner nations
- TaiwanUnited StatesCanada
In The Last Decade
Mei‐Chun Hsiao
37 papers receiving 728 citations
Peers
Comparison fields: 5 of 95
- Public Health, Environmental and Occupational Health 208
- Psychiatry and Mental health 203
- Clinical Psychology 148
- Pharmacology 129
- Behavioral Neuroscience 100
Countries citing papers authored by Mei‐Chun Hsiao
This map shows the geographic impact of Mei‐Chun Hsiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mei‐Chun Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mei‐Chun Hsiao more than expected).
Fields of papers citing papers by Mei‐Chun Hsiao
This network shows the impact of papers produced by Mei‐Chun Hsiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mei‐Chun Hsiao. The network helps show where Mei‐Chun Hsiao may publish in the future.
Co-authorship network of co-authors of Mei‐Chun Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Mei‐Chun Hsiao. A scholar is included among the top collaborators of Mei‐Chun Hsiao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mei‐Chun Hsiao. Mei‐Chun Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 68 | |
| 5 | 26 | |
| 6 | 86 | |
| 7 | 5 | |
| 8 | Effective treatment of premenstrual violence in major depression: augmentation with aripiprazole. | 5 |
| 9 | 17 | |
| 10 | 13 | |
| 11 | 38 | |
| 12 | 2 | |
| 13 | 13 | |
| 14 | 40 | |
| 15 | 41 | |
| 16 | 19 | |
| 17 | 8 | |
| 18 | 11 | |
| 19 | 37 | |
| 20 | 8 |
About Mei‐Chun Hsiao
Mei‐Chun Hsiao is a scholar working on Behavioral Neuroscience, Psychiatry and Mental health and Public Health, Environmental and Occupational Health, having authored 37 papers that have together received 766 indexed citations. Recurring topics across this work include Menstrual Health and Disorders (12 papers), Schizophrenia research and treatment (7 papers) and Treatment of Major Depression (6 papers). The work is most often cited by research in Biological Psychiatry (80 citations), Behavioral Neuroscience (100 citations) and Psychiatry and Mental health (203 citations). Mei‐Chun Hsiao has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Chia‐Yih Liu, Chia-Yih Liu, Cheng‐Cheng Hsiao, Kun‐Ju Lin, Winston W. Shen, Yong‐Yi Yang, Tzu‐Chen Yen, Yu‐Li Liu, Kai‐Yuan Tzen and T’sang‐T’ang Hsieh. Their work appears in journals such as Journal of Medicinal Chemistry, Psychoneuroendocrinology and Schizophrenia Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.